Exercise 2

In this set of exercises, we will import some data.

1

Load the synthetic version of the GESIS Panel data as CSV.

Clues

The file format is CSV, so you need the readr library and a function that starts with read_...

solution

library(readr)

gpc <-
  readr::read_csv("./data/ZA5667_v1-0-0_Stata14_synthetic-data.csv")

## 
## -- Column specification --------------------------------------------------------------------------------------------------------------
## cols(
##   .default = col_double()
## )
## i Use `spec()` for the full column specifications.

2

Convert the variable sex to a factor.

Clues

You can do that while importing the data with the col_types argument or after loading them.

solution

gpc <-
  readr::read_csv(
    "./data/ZA5667_v1-0-0_Stata14_synthetic-data.csv",
    col_types = cols(
      sex = col_factor()
    )
  )

3

Export the dataset as a Stata file.

Clues

You need the haven::write_dta() function.

solution

gpc <-
  gpc %>% 
  haven::write_dta("./MY_CODE/stata_test_file.dta")

Bonus

Export the dataset in the statistical software format of your choice and, if you have access to this software on your computer, open it for checking.

Clues

Again, you need one of the haven::write_...() functions.

solution

gpc <-
  gpc %>% 
  haven::write_dta("./MY_CODE/stata_test_file.sav")